48 lines
1.2 KiB
Python
48 lines
1.2 KiB
Python
# -*- coding: utf-8 -*-
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## Add path to library (just for examples; you do not need this)
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import sys, os
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'))
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import numpy as np
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import scipy
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from pyqtgraph.Qt import QtCore, QtGui
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import pyqtgraph as pg
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app = QtGui.QApplication([])
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## Create window with ImageView widget
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win = QtGui.QMainWindow()
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win.resize(800,800)
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imv = pg.ImageView()
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win.setCentralWidget(imv)
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win.show()
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## Create random 3D data set with noisy signals
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img = scipy.ndimage.gaussian_filter(np.random.normal(size=(200, 200)), (5, 5)) * 20 + 100
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img = img[np.newaxis,:,:]
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decay = np.exp(-np.linspace(0,0.3,100))[:,np.newaxis,np.newaxis]
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data = np.random.normal(size=(100, 200, 200))
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data += img * decay
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#for i in range(data.shape[0]):
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#data[i] += 10*exp(-(2.*i)/data.shape[0])
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data += 2
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## Add time-varying signal
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sig = np.zeros(data.shape[0])
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sig[30:] += np.exp(-np.linspace(1,10, 70))
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sig[40:] += np.exp(-np.linspace(1,10, 60))
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sig[70:] += np.exp(-np.linspace(1,10, 30))
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sig = sig[:,np.newaxis,np.newaxis] * 3
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data[:,50:60,50:60] += sig
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## Display the data
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imv.setImage(data, xvals=np.linspace(1., 3., data.shape[0]))
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## Start Qt event loop unless running in interactive mode.
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if sys.flags.interactive != 1:
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app.exec_()
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